View source: R/calcKFoldError.R
createKFoldData | R Documentation |
Generic method for creating KFold testing data
createKFoldData(score_ids, full_data, pred_df)
score_ids |
Vector of row ids to be included in scoring data |
full_data |
Complete dataset (class 'hpidata“) of this model type (rt or hed) |
pred_df |
Data to be used for prediction |
list of length 2 containing:
Training data.frame
Scoring data.frame
Called from 'calcKFoldError()“
# Load Data
data(ex_sales)
# Create RT Data
rt_data <- rtCreateTrans(trans_df = ex_sales,
prop_id = 'pinx',
trans_id = 'sale_id',
price = 'sale_price',
periodicity = 'monthly',
date = 'sale_date')
# Create folds
k_folds <- split(x = 1:nrow(rt_data),
f = sample(1:10, nrow(rt_data), replace = TRUE))
# Create data from folds
kfold_data <- createKFoldData(score_ids = k_folds[[1]],
full_data = rt_data,
pred_df = rt_data)
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